we hit that exact wall last year, 10+ ecommerce clients, all on different logic stacks, and QA became russian roulette. what saved us wasn’t more automation, it was changing where automation started. instead of testing pages, we tested patterns. we built a small “flow-fingerprint” library, basically one json snapshot per client that tracks their key transactional paths (add-to-cart, shipping, payment gateway, etc). every time a client updates their stack, our bot compares the new snapshot vs. baseline and flags delta changes before deployment. no extra human QA hours, just one engineer keeping the fingerprint repo clean. it’s not flashy, but it scales because the system learns what normal looks like for each brand, not what the platform says it should. the bonus? clients stop blaming you for silent breaks, they see you as the one predicting them.